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  • ICDAR 2003 Robust Reading Competitions - TC11
    and TrialTest Use TrialTrain to train or tune your algorithms then quote results on TrialTest Robust Reading and Text Locating Sample result for the Text Location bounding boxes and Robust Reading bounding boxes and transcription Competition The aim of the Robust Reading Competition is to find the best system able to read complete words in camera captured scenes This entails both locating the text in the image in terms of bounding boxes of individual words and recognising the containing text The aim of the Text Locating Competition is to just locate the text regions in scenes The datasets for both Robust Reading and Text Locating Competitions are provided in a bundle Each dataset is provided as a zip file and contains a set of JPEG scene images and three XML tag files locations xml words xml and segmentation xml locations xml is for the Text Locating problem and contains the path to each image and the set of rectangles for each image words xml is for the Robust Reading competition this tags each image with the bouding rectangles of each word in the image together with the text in each rectangle segmentation xml like words xml except that each word is also given its segmentation points just in case this information is useful to your algorithm e g may be used to speed up EM Robust Word Recognition Sample result for the Robust Word Recognition Competition The aim of this competition is to find the best system able to read single words that have been extracted from natural scenes Each dataset is provided as a zip file and contains a set of JPEG images of single words and an XML tag file containing the ground truth transcriptions Robust Character Recognition Sample result for the Robust Character Recognition Competition The aim

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php/ICDAR_2003_Robust_Reading_Competitions (2016-02-15)
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  • Braille Dataset - Shiraz University - TC11
    rotation 25 15 0 15 25 with different page scales The documents are scanned by HP G4010 scanner with resolution 72 dpi and the rotation of documents is done by software References M Yousefi M Famouri B Nasihatkon Z Azimifar P Fieguth A robust probabilistic Braille recognition system International Journal on Document Analysis and Recognition September 2012 Volume 15 Issue 3 pp 253 266 Submitted Files Version 1 0 Dataset

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php/Braille_Dataset_-_Shiraz_University (2016-02-15)
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  • Pages that link to "Braille Dataset - Shiraz University" - TC11
    talk Template Template talk Help Help talk Category Category talk DAS Discussion Filters Hide transclusions Hide links Hide redirects The following pages link to Braille Dataset Shiraz University View previous 50 next 50 20 50 100 250 500 Datasets List links View previous 50 next 50 20 50 100 250 500 Retrieved from http www iapr tc11 org mediawiki index php Special WhatLinksHere Personal tools 91 105 69 17 Talk

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php?title=Special:WhatLinksHere&target=Braille+Dataset+-+Shiraz+University (2016-02-15)
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  • Pages that link to "ICDAR2011 Doctoral Consortium" - TC11
    talk Help Help talk Category Category talk DAS Discussion Filters Hide transclusions Hide links Hide redirects The following pages link to ICDAR2011 Doctoral Consortium View previous 50 next 50 20 50 100 250 500 Conferences links IAPR TC11 What s New links View previous 50 next 50 20 50 100 250 500 Retrieved from http www iapr tc11 org mediawiki index php Special WhatLinksHere Personal tools 91 105 69 17

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php?title=Special:WhatLinksHere&target=ICDAR2011+Doctoral+Consortium (2016-02-15)
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  • Letter-block Recognition in Arabic - TC11
    STRING LENGTH t s where s the recognized label of a letter block t s the associated true label of that letter block STRING DISTANCE s t s the string distance between two strings s and t s STRING LENGTH t s the number of letters in the string t s The evaluation protocol proposed is the following In each run the dataset is randomly divided in two subsets a training and a test one The corresponding sizes of the training and test subsets are 80 and 20 respectively The letter blocks labeled as NaN are ignored The target recognition system is trained on the training subset and then its performance is evaluated on the test subset in terms of the recognition error ERR AVERAGE ERR s ts for all s in the test subset The process is repeated 10 times and the average of the 10 recognition errors is considered as the performance of the target method Related Dataset and Ground Truth Data IBN SINA A database for research on processing and understanding of Arabic manuscripts images originally proposed for v2 0 of the dataset References Reza Farrahi Moghaddam Mohamed Cheriet Mathias M Adankon Kostyantyn Filonenko and Robert Wisnovsky

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php/Letter-block_Recognition_in_Arabic (2016-02-15)
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  • Pages that link to "Letter-block Recognition in Arabic" - TC11
    Help talk Category Category talk DAS Discussion Filters Hide transclusions Hide links Hide redirects The following pages link to Letter block Recognition in Arabic View previous 50 next 50 20 50 100 250 500 IBN SINA A database for research on processing and understanding of Arabic manuscripts images links View previous 50 next 50 20 50 100 250 500 Retrieved from http www iapr tc11 org mediawiki index php Special

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php?title=Special:WhatLinksHere&target=Letter-block+Recognition+in+Arabic (2016-02-15)
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  • NEOCR: Natural Environment OCR Dataset - TC11
    humans has been annotated for all images The dataset creation process was stopped when for each metadata dimension at least 100 textfields were included in the dataset The ground truth contains not only the visible text but also distortion quadrangles which enclose the visible text much more precisely than bounding boxes The dataset is enriched with metadata consisting of brightness contrast inversion texture resolution noise blur distortion rotation character arrangement occlusion typeface and language information The annotation is provided in XML based on the schema of LabelMe Metadata and Ground Truth Data The annotation was created manually by an adaptation of the LabelMe annotation tool All text visible and recognizable by humans has been annotated for all images The annotation is provided in XML the schema of LabelMe was extended to our needs The extended XMLschema is also provided as part of the dataset Metadata is provided globally and locally Global image metadata includes the filename folder source information image width height depth brightness and contrast Textfield local bounding box metadata contains the visible text and optical geometrical and typographical characteristics Bounding boxes are rectangular and parallel to the axes Additionally distortion quadrangles are provided which enclose the visible text more precisely Optical characteristics include texture brightness contrast inversion resolution noise and blur information Texture noise and inversion were annotated manually the rest was computed automatically using ImageMagick Geometrical characteristics cover distortion rotation character arrangement and occlusion information Typographical characteristics contain typeface and language metadata Please see the CBDAR paper 1 the technical report 2 or the metadata documentation for further details on the metadata Related Tasks Text Recognition in Natural Scenes References R Nagy A Dicker and K Meyer Wegener NEOCR A Configurable Dataset for Natural Image Text Recognition In CBDAR Workshop 2011 at ICDAR 2011 pp 53 58

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php/NEOCR:_Natural_Environment_OCR_Dataset (2016-02-15)
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  • Pages that link to "NEOCR: Natural Environment OCR Dataset" - TC11
    Template talk Help Help talk Category Category talk DAS Discussion Filters Hide transclusions Hide links Hide redirects The following pages link to NEOCR Natural Environment OCR Dataset View previous 50 next 50 20 50 100 250 500 Datasets List links Text Recognition in Natural Scenes links View previous 50 next 50 20 50 100 250 500 Retrieved from http www iapr tc11 org mediawiki index php Special WhatLinksHere Personal tools

    Original URL path: http://www.iapr-tc11.org/mediawiki/index.php?title=Special:WhatLinksHere&target=NEOCR%3A+Natural+Environment+OCR+Dataset (2016-02-15)
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